Senior AI Engineer

1 week ago

London, United Kingdom Engine AI Full time
Job Description

We are expanding the AI capabilities of our company and are looking to hire a Senior AI Engineer focused on building Data Agents . This role will also involve developing tools to transform plain language questions into actionable insights, including SQL query generation, entity matching, and data visualisations.


If you have a passion for leveraging generative models and are excited about implementing cutting-edge AI solutions, we’d love to have you join our team You’ll collaborate with experienced developers, data scientists, and product managers to shape the future of AI-powered data applications. We offer a competitive salary and an environment that fosters continuous learning and innovation.


Key Responsibilities

  • Develop Data Agents capable of interpreting natural language questions into SQL queries, data insights, and visualisations.
  • Create domain-agnostic tools to support the development of Data Agents (e.g., entity matching algorithms).
  • Implement and fine-tune large language models (LLMs) for domain-specific data analysis tasks.
  • Collaborate with cross-functional teams to integrate Data Agents into our Data and AI Operating System.
  • Stay current with the latest AI research and apply novel techniques to solve complex problems.


Requirements

  • MSc or PhD in Data Science, AI, ML, or Computer Science.
  • 5+ years of experience in applied AI, with a focus on natural language processing and data analysis.
  • Experience with generative models, large language models (LLMs), and entity resolution.
  • Experience with LangChain or similar frameworks for building language model applications.
  • Proficiency in Python and SQL, with strong skills in data manipulation and analysis.
  • Expertise in AI frameworks such as TensorFlow, PyTorch, and Hugging Face Transformers.
  • Ability to effectively communicate complex AI concepts, especially to non-technical stakeholders.


Preferred Qualifications

  • Experience with graph databases and knowledge graphs.
  • Familiarity with business intelligence tools and data warehousing concepts.
  • Background in semantic parsing or natural language-to-SQL translation.

Next Steps

Interested in this role? We encourage a diverse workforce and welcome applications from all communities.

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